Remote Applied Mathematician for AI Benchmarking

24-Mag Llc; New York (NY); Remote; USD 69,000 - 96,000; Part time

Benefits offered by this job

Remote work

Part-time contract

Flexible scheduling

Job summary

24-MAG LLC invites experienced mathematicians and quantitative researchers for a part-time, fully remote consulting opportunity focused on building rigorous mathematics benchmarks for AI evaluation.

Ideal candidates hold a PhD or are PhD candidates with strong graduate-level mathematics, expertise in optimization, signal processing, and financial mathematics. The role involves authoring and verifying advanced content and developing reference solutions.

Qualifications

• PhD or current doctoral candidacy in Mathematics, Applied Mathematics, Statistics, OR Operations Research.
• Expertise across Signal Processing, Financial Mathematics, Actuarial Science, Mathematical Economics and related fields.
• Experience in creating rigorous mathematical benchmarks and problem design.

Responsibilities

• Author original math MC questions with deep understanding and tight solvability.
• Verify questions for correctness, clarity, and rigour, editing as needed.
• Develop problems in signal processing, optimisation, and financial mathematics.
• Provide well-supported reference solutions and explanations.
• Rate difficulty and contribute to gold-standard benchmark content.

Skills

Graduate math expertise

Signal processing

Financial mathematics

Actuarial science

Mathematical economics

Optimization

Modelling

Geomathematics

Climate modelling

Academic writing

Education

PhD in Mathematics

Doctoral candidacy

Job description

24-MAG LLC invites experienced mathematicians and quantitative researchers for a part-time, fully remote consulting opportunity focused on building rigorous mathematics benchmarks for AI evaluation.

Ideal candidates hold a PhD or are PhD candidates with strong graduate-level mathematics, expertise in optimization, signal processing, and financial mathematics. The role involves authoring and verifying advanced content and developing reference solutions.